335 research outputs found
Efficient Processing of Proximity-Aware Spatial Queries in Road Networks
No full text학위논문(박사)--아주대학교 일반대학원 :컴퓨터공학과,2017. 8CHAPTER 1. Introduction 1
1.1 Motivation 1
1.2 Contributions 3
1.3 Thesis Outline 5
CHAPTER 2. Background 6
2.1 Spatial Databases 6
2.1.1 Modeling 6
2.2 Proximity-Aware Spatial Queries 9
2.3 Related Work 12
2.3.1 Reverse Nearest Neighbor Queries 13
2.3.2 Top-k Spatial Preference Queries 16
2.3.3 Top-k Spatial Keyword Queries 19
CHAPTER 3. Various Proximity-Aware Spatial Queries in Road Networks 21
3.1 Processing Reverse k Nearest Neigbhor Queries 21
3.1.1 Overview 21
3.1.2 Preliminaries 25
3.1.3 Safe Exit Algorithm for Moving RkNN Queries and Moving Objects 29
3.1.4 RkNN Queries in Dynamic Road Networks 49
3.2 Top-k Spatial Preference Queries in Directed Road Networks 52
3.2.1 Overview 52
3.2.2 Preliminaries 54
3.2.3 Pruning and Grouping 58
3.2.4 Top-k Spatial Prefernce Query Algorithm 73
3.3 Top-k Spatial Keyword Queries in Directed Road Networks 82
3.3.1 Overview 82
3.3.2 Preliminaries 84
3.3.3 Query Processing System 86
CHAPTER 4. Performance Evaluation 91
4.1 Performance Evaluation of CORE-X 91
4.1.1 Experimental Settings 91
4.1.2 Experimental Results for Static Road Networks 93
4.1.3 Experimental Results for Dynamic Road Networks 97
4.2 Performance Evaluation of TOPS 101
4.2.1 Experimental Settings 102
4.2.2 Experimental Results for Query Processing Time 103
4.2.3 Experimental Results for Materialization and Incremental Maintenance Costs 108
4.3 Performance Evaluation of eSPAK 111
4.3.1 Experimental Settings 111
4.3.2 Experimental Results 113
CHAPTER 5. Conclusion 117
References 119
Publications List 127DoctoralWith the explosive growth in spatial information and emergence of new technologies, a number of applications such as GIS, VLSI and decision support systems are exploiting the location dimension to provide services. Moreover, the rapid technological advances in wireless networks and development of smartphones have popularized location-based services. Majority of these applications uses proximity-aware spatial queries to provide services. A proximity-aware spatial queries computes the results based on the closeness of objects. Reverse k nearest neighbor queries (RkNN), top-k spatial preference queries and top-k spatial keyword queries are some of the important proximity-aware spatial queries. In this thesis, we provide efficient techniques for processing these queries in road networks.
In this thesis, we present efficient techniques to continuously monitor RkNN queries where both query and data objects are moving. The main challenge in continuous RkNN queries is to maintain the freshness of query results because results may nullify due to movement of query or data objects. We propose a safe exit-based algorithm called CORE-X for efficiently computing the safe exit points of both query and data objects. Within the safe region, the query result remains unchanged provided that query and data objects remains inside their respective safe regions. Furthermore, we also provide efficient solution for processing RkNN queries in dynamic road networks where the network distance changes depending on the traffic conditions.
Top-k preference queries are crucial for a wide range of location based services such as hotel browsing and apartment searching. In recent years, a lot of research has been conducted on processing of top-k spatial preference queries in Euclidean space. While few algorithms study top-k preference queries in road networks, they all focus on undirected road networks. To the best of our knowledge, we are the first to investigate the problem of processing the top-k spatial preference queries in directed road networks where each road segment has a particular orientation. To the best of our knowledge, this is the first study to address this problem. We propose a pruning and grouping of feature objects to reduce the number of feature objects which improve the query processing time. Additionally, we present an efficient algorithm called TOPS that can process top-k spatial preference queries in directed road networks.
Top-k keyword queries can be used for a wide range of applications in recommendation systems and decision support systems. Several solutions have been proposed for top-k spatial keyword queries in Euclidean space. However, few algorithms study top-k keyword queries in undirected road networks where every road segment is undirected. Even worse, insufficient attention has been given to the processing of keyword queries in directed road networks where each road segment has a particular orientation. In this study, we are the first to address this issue and proposed efficient techniques for processing top-k spatial keyword queries in directed road networks.
All the approaches we propose have been validated through extensive experimental evaluation on real road networks. The results we obtained show that our proposed techniques significantly improves the performance of these proximity-aware spatial queries in road networks
Smart Healthcare Using Data-Driven Prediction of Immunization Defaulters in Expanded Program on Immunization (EPI)
Get PDFImmunization is a noteworthy and proven tool for eliminating life-threating infectious diseases, child mortality and morbidity. Expanded Program on Immunization (EPI) is a nation-wide program in Pakistan to implement immunization activities, however the coverage is quite low despite the accessibility of free vaccination. This study proposes a defaulter prediction model for accurate identification of defaulters. Our proposed framework classifies defaulters at five different stages: defaulter, partially high, partially medium, partially low, and unvaccinated to reinforce targeted interventions by accurately predicting children at high risk of defaulting from the immunization schedule. Different machine learning algorithms are applied on Pakistan Demographic and Health Survey (2017-18) dataset. Multilayer Perceptron yielded 98.5% accuracy for correctly identifying children who are likely to default from immunization series at different risk stages of being defaulter. In this paper, the proposed defaulters' prediction framework is a step forward towards a data-driven approach and provides a set of machine learning techniques to take advantage of predictive analytics. Hence, predictive analytics can reinforce immunization programs by expediting targeted action to reduce dropouts. Specially, the accurate predictions support targeted messages sent to at-risk parents' and caretakers' consumer devices (e.g., smartphones) to maximize healthcare outcomes
Offline signature verification system: a novel technique of fusion of GLCM and geometric features using SVM
No full textIn the area of digital biometric systems, the handwritten signature plays a key role in the authentication of a person based on their original samples. In offline signature verification (OSV), several problems exist that are challenging for verification of authentic or forgery signature by the digital system. Correct signature verification improves the security of people, systems, and services. It is applied to uniquely identify an individual based on the motion of pen as up and down, signature speed, and shape of a loop. In this work, the multi-level features fusion and optimal features selection based automatic technique is proposed for OSV. For this purpose, twenty-two Gray Level Co-occurrences Matrix (GLCM) and eight geometric features are calculated from pre-processing signature samples. These features are fused by a new parallel approach which is based on a high-priority index feature (HPFI). A skewness-kurtosis based features selection approach is also proposed name skewness-kurtosis controlled PCA (SKcPCA) and selects the optimal features for final classification into forged and genuine signatures. MCYT, GPDS synthetic, and CEDAR datasets are utilized for validation of the proposed system and show enhancement in terms of Far and FRR as compared to existing methods
sj-docx-1-wmr-10.1177_0734242X221080084 – Supplemental material for Fe-POM/attapulgite composite materials: Efficient catalysts for plastic pyrolysis
No full textSupplemental material, sj-docx-1-wmr-10.1177_0734242X221080084 for Fe-POM/attapulgite composite materials: Efficient catalysts for plastic pyrolysis by Saira Attique, Madeeha Batool, Oliver Goerke, Ghayoor Abbas, Faraz Ahmad Saeed, Muhammad Imran Din, Irfan Jalees, Irfan Ahmad, Duncan H Gregory and Asma Tufail Shah in Waste Management & Research</p
Human action recognition using fusion of multiview and deep features: an application to video surveillance
No full textHuman Action Recognition (HAR) has become one of the most active research area in the domain of artificial intelligence, due to various applications such as video surveillance. The wide range of variations among human actions in daily life makes the recognition process more difficult. In this article, a new fully automated scheme is proposed for Human action recognition by fusion of deep neural network (DNN) and multiview features. The DNN features are initially extracted by employing a pre-trained CNN model name VGG19. Subsequently, multiview features are computed from horizontal and vertical gradients, along with vertical directional features. Afterwards, all features are combined in order to select the best features. The best features are selected by employing three parameters i.e. relative entropy, mutual information, and strong correlation coefficient (SCC). Furthermore, these parameters are used for selection of best subset of features through a higher probability based threshold function. The final selected features are provided to Naive Bayes classifier for final recognition. The proposed scheme is tested on five datasets name HMDB51, UCF Sports, YouTube, IXMAS, and KTH and the achieved accuracy were 93.7%, 98%, 99.4%, 95.2%, and 97%, respectively. Lastly, the proposed method in this article is compared with existing techniques. The resuls shows that the proposed scheme outperforms the state of the art methods
Study of natural radioactivity in Mansehra granite, Pakistan: environmental concerns
No full textA part of Mansehra Granite was selected for the assessment of radiological hazards. The average activity concentrations of (226)Ra, (232)Th and (40)K were found to be 27.32, 50.07 and 953.10 Bq kg(-1), respectively. These values are in the median range when compared with the granites around the world. Radiological hazard indices and annual effective doses were estimated. All of these indices were found to be within the criterion limits except outdoor external dose (82.38 nGy h(-1)) and indoor external dose (156.04 nGy h(-1)), which are higher than the world's average background levels of 51 and 55 nGy h(-1), respectively. These values correspond to an average annual effective dose of 0.867 mSv y(-1), which is less than the criterion limit of 1 mSv y(-1) (ICRP-103). Some localities in the Mansehra city have annual effective dose higher than the limit of 1 mSv y(-1). Overall, the Mansehra Granite does not pose any significant radiological health hazard in the outdoor or indoor
Evaluation of the Role of Data Increment of Cancer Cases with Computer-Aided Algorithms for Detection of Breast Cancer
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Antioxidant Activity of Fresh Water Algae (Lyngbya kützingii and Microspora tumidula) From a Village in Kasur
No full textAbstract: Free radicals interfere with the equilibrium of cells and tissues, which can lead to cancer. Fresh water algae such as Microspora tumidula and Lyngbya kützingii is a great source of secondary antioxidant metabolites. These metabolites most likely work well in the therapy of cancer. Algae exhibit huge variety of pigments not only chlorophyll, Carotenoids, phycobilins, and xanthophylls are the most prevalent of these. In the beginning, the medicinal effect of microalgae biomass was studied when it was used as pills, powder, and water additives. More and more studies in recent years have focused on finding and using useful medicinal components in algae. Aim of this study to evaluate the antioxidant role of algae in pharmaceutical industries. In the current investigation, the algal extracts were prepared by using three solvents methanol, chloroform and n-hexane to know about antioxidant potential of algae of specific area. To evaluate the antioxidant activity different test were performed such as DPPH, TAA, TPC, FRAP and MC. In Microspora tumidula 15.16% DPPH highest value was shown by methanolic extract. In FRAP Lyngbya kützingii showed maximum value in methanolic extract 64 µM Trolox mg-1. While the highest value of TPC by Lyngbya kützingii was shown in chloroform extracts 37.5µg GAE /mg. The results of total antioxidant activity (TAA) were showed that Lyngbya kützingii and Microspora tumidula both exhibited the highest value 154mg /g and 152mg/g respectively in methanolic extract. The result of metal chelating test showed highest value in chloroform extract 10.44% by Lyngbya kützingii. So both these algal species showed antioxidant potential.
Keywords: Antioxidant potential, pharmaceutical industries, Evaluation, secondary metabolites, Cancer, Solvents extract.
Title: Antioxidant Activity of Fresh Water Algae (Lyngbya kützingii and Microspora tumidula) From a Village in Kasur
Author: Aneeza Attique, Uzma Hanif, Ghazala B., Muzammal Abbas, Muhammad Fahad Shakeel, Ifra Aslam, Misha Arshad, Shumaila Rasheed
International Journal of Life Sciences Research
ISSN 2348-313X (Print), ISSN 2348-3148 (online)
Vol. 10, Issue 4, October 2022 - December 2022
Page No: 73-81
Research Publish Journals
Website: www.researchpublish.com
Published Date: 21-December-2022
DOI: https://doi.org/10.5281/zenodo.7466955
Paper Download Link (Source)
https://www.researchpublish.com/papers/antioxidant-activity-of-fresh-water-algae-lyngbya-ktzingii-and-microspora-tumidula-from-a-village-in-kasurInternational Journal of Life Sciences Research, ISSN 2348-313X (Print), ISSN 2348-3148 (online), Research Publish Journals, Website: www.researchpublish.co
Une pleureuse Crétoise
No full textConcerning one of La Canée's fragmentary funeral steles that he ascribes to an Attic or in Attic style workshop set up in Western Crete, the author analyses the changed way in which the mourner's topic is discussed in the IVth cent. B.C.À propos d'une stèle funéraire fragmentaire de La Canée qu'il attribue à un atelier attique ou de formation attique installé en Crète occidentale, l'A. analyse l'esprit changé dans lequel le thème de la pleureuse est traité au IVe siècle av. J.-C.Papaoikonomou Yannis. Une pleureuse Crétoise. In: Revue des Études Anciennes. Tome 85, 1983, n°1-2. pp. 5-14
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